SkaiScraper — Enterprise Readiness Summary

509

Active Routes

261

Data Models

500

VU Load Tested

3ms

DB Latency

14%

Memory Usage

Infrastructure

Application Hosting Vercel (Edge + Serverless)

Database Supabase PostgreSQL

Caching Upstash Redis

Authentication Clerk (SOC 2)

Payments Stripe (PCI DSS)

AI Engine OpenAI GPT-4

Horizontal Scaling ✓ Auto

Authentication & Security

Auth Model RBAC + Org Scoping

Tenant Isolation ✓ Verified (22 tests)

Cross-Org Leakage ✓ 0 found

Auth Hardening Tests 396 lines

Middleware Auth Guard ✓ All /api/* routes

Rate Limiting ✓ Redis-backed

HTTPS / TLS ✓ Enforced

Monitoring & Observability

Error Tracking Sentry (27 boundaries)

Health Endpoints ✓ /live, /deep, /ready

Client Instrumentation ✓ Active

Edge Instrumentation ✓ Active

Server Instrumentation ✓ Active

Build Verification ✓ CI/CD

CI / Pipeline Controls

Schema Validation ✓ prisma validate

Auth Drift Detection ✓ Automated

Type Checking ✓ TypeScript strict

Lint Gate ✓ ESLint

Unit Tests ✓ Vitest

Build Guard ✓ Blocks bad deploys

Smoke Tests ✓ Post-deploy

Attack Surface Reduction

Routes Before Audit 678

Dead Routes Archived 162 removed

Active Routes Now 509 (−24%)

Data Model Integrity 261/261 backed

Raw SQL Bypass Routes ✓ 3 hardened

Migration Drift ✓ 0 — all applied

Production Load Test Results — February 17, 2026

Test	Virtual Users	Duration	p95 Latency	Success Rate	Result
Smoke	5	2 min	278ms	100%	✓ PASS
Soak	200	30 min	615ms	99.96%	✓ PASS
Spike	0 → 500	8 min	266ms	100%	✓ PASS
Stress	100 → 500	18 min	855ms	99.56%	✓ NO CRASH

All tests executed against live production (skaiscrape.com). Raw k6 output available on request. 500 concurrent users sustained for 18 minutes with zero crashes and graceful degradation only.

Scaling Architecture

Q: "How many concurrent users can this handle?"
A: We've load tested 500 concurrent users against production for 18 minutes. At your peak of 180 active users, you'd operate at 36% of our tested capacity. The architecture scales horizontally — Vercel auto-provisions serverless functions under load, Supabase handles connection pooling, and Upstash Redis absorbs cache pressure. There is no fixed server ceiling. If you grew to 500 users tomorrow, the infrastructure handles it without configuration changes.